Quick Screening of Pareto-Optimal Operating Conditions for Expanding Solvent-Steam Assisted Gravity Drainage Using Hybrid Multi-Objective Optimization Approach
- 주제(키워드) oil sands , trade-off , ES-SAGD , Pareto-optimality , surrogate model
- 등재 SCIE, SCOPUS
- 발행기관 MDPI AG
- 발행년도 2017
- URI http://www.dcollection.net/handler/ewha/000000148865
- 본문언어 영어
- Published As http://dx.doi.org/10.3390/en10070966
초록/요약
Solvent-steam mixture is a key factor in controlling the economic efficiency of the solvent-aided thermal injection process for producing bitumen in a highly viscous oil sands reservoir. This paper depicts a strategy to quickly provide trade-off operating conditions of the Expanding Solvent-Steam Assisted Gravity Drainage (ES-SAGD) process based on Pareto-optimality. Response surface models are employed to evaluate multiple ES-SAGD scenarios at low computational costs. The surrogate models play a role of objective-estimators in the multi-objective optimization that provides qualified ES-SAGD scenarios regarding bitumen recovery, steam-energy efficiency, and solvent-energy efficiency. The developed hybrid approach detects positive or negative correlations among the performance indicators of the ES-SAGD process. The derived Pareto-optimal operating conditions give flexibility in field development planning and thereby help decision makers determine the operating parameters of the ES-SAGD process based on their preferences.
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